Add to ORKGThe application of artificial neural networks (ANN) is considered to the problems of electromagnetics in time domain. Amplitudes of electromagnetic field in definite points of observation in different moments of time are proposed for using as initial values for an input layer of neural network. As examples the different structures of ANN were applied to solve the problem of determination of layered medium parameters by reflected transient field analysis. The incident field is plane wave with Gaussian time dependence. The stability of the determination of medium geometrical and electrical characteristics is studied for the case of presence of experimental errors, outer interferences, and instabilities of medium parameters
Electromagnetic emissions were measured from several radio receivers to demonstrate the possibility ...
This work explores the strategy of adding physical coefficients as predictor variables in a Physics-...
Although the development of communication technology increases the quality of life, it causes the in...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
Abstract: This work presents a novel method based on artificial neural networks (ANNs) for the predi...
The project deals with artificial neural networks. After designing and debugging the test data set a...
In this paper, the recent neural network (NN) approaches to time domain electromagnetic (EM)-based m...
For the last years, examples of the artificial neural network (ANN) technique applications have been...
Using analytical iterative methods, simulation of microwave devices is complicated: computing time i...
ABSTRACT − The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD...
The new idea of analyze of power system failure with use of artificial neural network is proposed. A...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
This thesis deals with neural modeling of electromagnetic field inside small aircrafts, witch can co...
I am responsible for the formulation of preprocessing functions to enhance the efficiency of the sim...
Electromagnetic emissions were measured from several radio receivers to demonstrate the possibility ...
This work explores the strategy of adding physical coefficients as predictor variables in a Physics-...
Although the development of communication technology increases the quality of life, it causes the in...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
Abstract: This work presents a novel method based on artificial neural networks (ANNs) for the predi...
The project deals with artificial neural networks. After designing and debugging the test data set a...
In this paper, the recent neural network (NN) approaches to time domain electromagnetic (EM)-based m...
For the last years, examples of the artificial neural network (ANN) technique applications have been...
Using analytical iterative methods, simulation of microwave devices is complicated: computing time i...
ABSTRACT − The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD...
The new idea of analyze of power system failure with use of artificial neural network is proposed. A...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
This thesis deals with neural modeling of electromagnetic field inside small aircrafts, witch can co...
I am responsible for the formulation of preprocessing functions to enhance the efficiency of the sim...
Electromagnetic emissions were measured from several radio receivers to demonstrate the possibility ...
This work explores the strategy of adding physical coefficients as predictor variables in a Physics-...
Although the development of communication technology increases the quality of life, it causes the in...